libshogun-dbg binary package in Ubuntu Trusty amd64
SHOGUN - is a new machine learning toolbox with focus on large scale kernel
methods and especially on Support Vector Machines (SVM) with focus to
bioinformatics. It provides a generic SVM object interfacing to several
different SVM implementations. Each of the SVMs can be combined with a variety
of the many kernels implemented. It can deal with weighted linear combination
of a number of sub-kernels, each of which not necessarily working on the same
domain, where an optimal sub-kernel weighting can be learned using Multiple
Kernel Learning. Apart from SVM 2-class classification and regression
problems, a number of linear methods like Linear Discriminant Analysis (LDA),
Linear Programming Machine (LPM), (Kernel) Perceptrons and also algorithms to
train hidden markov models are implemented. The input feature-objects can be
dense, sparse or strings and of type int/short/
converted into different feature types. Chains of preprocessors (e.g.
substracting the mean) can be attached to each feature object allowing for
on-the-fly pre-processing.
.
SHOGUN comes in different flavours, a stand-a-lone version and also with
interfaces to Matlab(tm), R, Octave, Readline and Python. This package
contains debug symbols for all interfaces.
Publishing history
Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
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2014-01-06 11:38:22 UTC | Published | Ubuntu Trusty amd64 | release | universe | debug | Extra | 3.1.1-1 | ||
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2014-01-06 11:19:30 UTC | Superseded | Ubuntu Trusty amd64 | proposed | universe | debug | Extra | 3.1.0-1 | ||
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Deleted | Ubuntu Trusty amd64 | proposed | universe | debug | Extra | 3.1.1-1 | |||
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2014-01-06 11:39:00 UTC | Superseded | Ubuntu Trusty amd64 | release | universe | debug | Extra | 3.0.1~git20131115.557741b-2 | ||
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2014-01-07 12:10:11 UTC | Deleted | Ubuntu Trusty amd64 | proposed | universe | debug | Extra | 3.0.1~git20131115.557741b-2 | ||
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